76 to 100 of 2,475 SQL Jobs in the UK

Proven experience designing and maintaining data integrations via APIs, ideally between HRIS platforms (e.g., HiBob, Workday, or similar) and analytics environments. Strong proficiency in SQL and data visualization tools (e.g., Tableau or Power BI). Demonstrated experience in automating manual HR processes or developing data-driven tools for HR teams.

eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have: experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information We’re a community here that cares as much about your

distributed computing frameworks. Knowledge of cloud platforms such as AWS, Azure, or GCP, with hands-on experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and Airflow. Strong understanding of data modelling, schema

eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life

comfort in presenting to clients and senior stakeholders Ability to juggle and prioritize multiple on-going initiatives, projects, tasks, and time-sensitive requests Strong SQL skills, including writing complex queries, optimizing performance, and working with relational database structures. Working knowledge of Python and data analytics libraries (e.g., NumPy, Pandas, Matplotlib

implementation Understanding of socket programming (TCP/IP) Basic knowledge of encryption principles Proficient in version control using Git Technical Skills: C# NET Core SQL (strong knowledge) Linq2DB, Entity Framework Core RESTful APIs RabbitMQ/Kafka CQRS pattern NuGet package development and management JavaScript Docker/Kubernetes Git/DevOps

Experience working in an Agile development environment across the full software development lifecycle. Strong knowledge of Microsoft Azure services (App Services, VMs, Azure SQL Database, Azure Active Directory) and cloud-based architectures. Proficiency in scripting and automation using languages such as YAML, PowerShell, Bash, .NET, Java, and Python. Expertise

risks. About you: A deep knowledge and understanding of Cyber accumulations and experience with cyber catastrophe models (CyberCube, Moody’s RMS, Guidewire). Advanced SQL and excel skills. Familiarity with Power BI and Python an advantage. Excellent analytical and problem-solving skills, with a keen attention to detail. Current knowledge

ability to mobilise change Advanced knowledge of project/product management platforms (JIRA & Confluence strongly preferred) Advanced knowledge of common data-manipulation tools (SQL, Google Sheets) Advanced knowledge of data analytics platforms (Looker preferred) Experienced in both lean and agile methodologies (Scrum, Kanban) Preferred Skills IIBA-CCBA certification preferred

developing smart contract distributed apps using Functional programming or the Daml SDK will be a big plus. Experience using and administering databases, particularly SQL, PostgreSQL and/or Oracle Good understanding of networking protocols/firewalls and cloud computing environments Experience in packaging and deploying applications Ability to diagnose

stakeholders at all levels of the organisation and 3rd parties . Experience working with the following technologies: JavaScript, React, C# . NET , Python, SQL, APIs , Azure, Power Platform, SaaS , PaaS , IaC . Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP , MCP etc . Experience

full analytics and modelling lifecycle - problem formulation, exploratory data analysis, model design, build, testing and handover Experience working with common tools like python, SQL, Excel and data visualisation solutions for modelling and analysis. Experience of leading and delivering solutions that involved one or more of the following specialisms: advanced analytics

tools to accelerate coding, debugging, or system design. Strong understanding and application of data structures and algorithms in building efficient solutions. Experience in SQL, NoSQL database management systems (PostgreSQL and Cassandra) Commercial experience using messaging technologies (RabbitMQ, Kafka) Experience using orchestration software (Chef, Puppet, Ansible, Salt) Confident in building complex

LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like Pinecone or MongoDB Atlas Vector Search Solid engineering practices: TDD, CI/CD pipelines, DevOps tooling, and secure deployment at scale

comfortable working with technical and finance stakeholders alike. Desirable Skills & Experience Experience with system integration's and APIs. Background in software development or scripting (SQL, Python, JavaScript). Exposure to other business applications and willingness to support wider systems. Experience in a hybrid IT/Finance role. Why Join

ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Azure Data Factory Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with

required) — e.g., SOC analytics, SIEM data, threat intel, log analysis, or cybersecurity product data. Strong Python skills for data processing, automation, and analysis. Expert SQL skills with experience across major relational databases (PostgreSQL, MySQL, Redshift, etc.). Strong understanding of KPIs, metrics, statistical analysis, and data visualization. Ability to communicate

Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts

Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts

Microsoft Fabric architecture and components Expertise in Microsoft Fabric Data Engineering Fabric Dataflows/Azure Data Factory Experience with Azure Synapse, Data Lake, SQL, and integration pipelines Desirable: Experience with other low-code or analytics platforms Knowledge of data governance frameworks and security models Microsoft certifications (e.g., Power BI Data

including Databricks and Data Factory, to help us build and optimise cutting-edge solutions. You'll bring strong programming skills in Python, PySpark, and SQL, along with proven experience in designing data models, developing pipelines, and implementing modern data architecture. Your ability to translate complex technical concepts into clear, actionable

consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions

consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions

Power BI, Looker, or equivalent Strong understanding of UX/UI principles and visual storytelling through data Working knowledge of creating data connections - e.g. SQL and relational databases, DataBricks, JSON files, API services, Data Lakes Meticulous attention to detail with a user-first mindset Excellent communication and collaboration skills across

programming, design patterns, and concurrency. Extensive experience with Spring ecosystem. Familiar with data transformation frameworks, batch processing (e.g., Spring Batch). Solid foundation in SQL, relational databases (DB2) and ability to write complex queries. Experience in UI development with frameworks such as Angular and .NET Experience with managing release cycles